Radio Tomographic Imaging with Wireless Networks
IEEE Transactions on Mobile Computing
A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks
IEEE Transactions on Mobile Computing
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A radio tomographic (RT) system uses the received signal strength (RSS) measurements collected on the links of a wireless mesh network composed of low-power transceivers in order to form real-time images of the attenuation field of the monitored area. These images indicate the position of people, without requiring them to participate in the localization effort by wearing or carrying any electronic device. Accurate localization and tracking of multiple people in real-time is required in several real-world applications, such as ambient-assisted living, tactical operations, and pedestrian traffic analysis in stores. In these scenarios, RT systems must perform reliably also a) when the number of targets is not known a priori and varies over time, and b) when people interact, i.e., have intersecting trajectories, in the monitored area. We demonstrate a RT system which tackles all of these challenges and provides accurate tracking of a varying and unknown number of people (both stationary and mobile) in real-time.